This book presents a unified treatment of many different kinds of planning algorithms. The subject lies at the crossroads between robotics, control theory, artificial intelligence, algorithms, and computer graphics. The particular subjects covered i
An Introduction to Numerical Analysis Endre S¨uli and David F. Mayers University of Oxford Cambridge University Press Contents 1 Solution of equations by iteration 2 Solution of systems of linear equations 3 Special matrices 4 Simultaneous nonlinear
In addition to new succinct treatments of Bode's original results from 1940s, this definitive reference presents a comprehensive analysis of modern results, featuring contemporary extensions of the subject to multivariable systems, sampled-data, per
This book gives a streamlined introduction to the theory of Seiberg-Witten invariants suitable for second-year graduate students. These invariants can be used to prove that there are many compact topological four-manifolds which have more than one s
'Boyd and Vandenberghe have written a beautiful book that I strongly recommend to everyone interested in optimization and computational mathematics: Convex Optimization is a very readable introduction to this modern field of research.' Mathematics o
'Boyd and Vandenberghe have written a beautiful book that I strongly recommend to everyone interested in optimization and computational mathematics: Convex Optimization is a very readable introduction to this modern field of research.' Mathematics o
Over the past decade, Deep Neural Networks (DNNs) have become very popular models for problems involving massive amounts of data. The most successful DNNs tend to be characterized by several layers of parametrized linear and nonlinear transformation
This paper is a survey of the theory and methods of photogrammetric bundle adjustment, aimed at potential implementors in the computer vision community. Bundle adjustment is the problem of refining a visual reconstruction to produce jointly optimal
Statistical profile monitoring is an area of statistical quality control that is growing in significance for researchers and practitioners, specifically because of its range of applicability across various service and manufacturing settings. Compris
In this paper, we propose a novel and general framework for dimensionality reduction, called Relational Fisher Analysis (RFA). Unlike traditional dimensionality reduction methods, such as linear discriminant analysis (LDA) and marginal Fisher analys
